Defining Fairness in AI
The conversation delves into the complexities of defining fairness within AI applications, emphasizing the need for clear documentation and metrics. Eric highlights the importance of capturing the intent behind engineering decisions, allowing for better understanding and traceability of AI behaviors. He advocates for a structured approach to address privacy concerns while ensuring transparency in AI systems.In this clip
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Eye on AI
Episode 42 - Eric Horvitz
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